Open-source large language models (LLMs) excel in English but struggle with other languages, especially the languages of Southeast Asia. This is primarily due to a lack of training data in these languages, limited understanding of local cultures, and insufficient tokens to capture unique linguistic structures and expressions. To fully meet customer needs, enterprises in non-English-speaking��
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